Nicholas J. Durr — accepted AI-conference papers

2025

SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis

Luojie Huang, Ryan Zhang, Marisa M Morakis, Michaela Taylor-Williams, Gregory N. McKay, Nicholas J. Durr

NeurIPS 2025poster

Analysis of noninvasive microvascular blood flow can improve the diagnosis, prognosis, and management of many medical conditions, including cardiovascular, peripheral vascular, and sickle cell disease. This paper introduces SAM2Flow, an interactive optical flow estimation model to analyze long Obliq…

Cited by 0 Source ↗Scholar ↗

2019

Learning to Navigate Endoscopic Capsule Robots

Mehmet Turan, Yasin Almalioglu, Hunter B. Gilbert, Faisal Mahmood, Nicholas J. Durr, Helder Araújo +3

RA-L 2019

Deep reinforcement learning (DRL) techniques have been successful in several domains, such as physical simulations, computer games, and simulated robotic tasks, yet the transfer of these successful learning concepts from simulations into the real world scenarios remains still a challenge. In this le

Cited by 28 Source ↗Scholar ↗